Transform crude data into actionable insights as a Senior Data Scientist at Nokia. Leverage cutting-edge technologies to drive impactful analyses and enable data-driven decision-making across the organization.
Key Responsibilities
* Drive and manage projects, activities, and technical responsibilities within your area of expertise, ensuring high-quality deliverables and documentation.
* Develop tools, methods, and processes; write requirements and specifications to guide R&D efforts.
* Partner with internal and external teams, providing training, consulting, and technical support to Product Management, Customer Interface, and business lines.
* Lead serious issue resolution, seek cost-efficient solutions, and foster change in the environment.
* Apply deep expertise in predictive analytics to deliver insights and solutions.
* Contribute to resource planning, work estimation, and process optimization.
Requirements
* PhD in Statistics, Machine Learning, Data Science, Computer Science, or Computer Engineering (MSc may be considered).
* 5–6 years of significant professional experience in Data Science.
* Proficient in both supervised and unsupervised learning.
* Expertise in Python (including libraries such as scikit-learn, Pandas, NumPy), Jupyter, Spark/Scala or R, PostgreSQL, ELK stack, Java, Kubernetes, Docker, microservices-oriented architecture, and MLOps practices.
* English fluency (both written and verbal) is mandatory.
About Us
Nokia is committed to innovation and technology leadership across mobile, fixed, and cloud networks. We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks, and fearless to bring our authentic selves to work.